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中国科学院大学学报 ›› 2021, Vol. 38 ›› Issue (1): 62-72.DOI: 10.7523/j.issn.2095-6134.2021.01.009

• 环境科学与地理学 • 上一篇    下一篇

反身性视角下信息流空间建构与网络韧性分析:以长三角百度用户热点搜索为例

李艳1, 孙阳1, 陈雯1,2   

  1. 1. 中国科学院南京地理与湖泊研究所 中国科学院流域地理学重点实验室, 南京 210008;
    2. 中国科学院大学资源与环境学院, 北京 100049
  • 收稿日期:2019-05-13 修回日期:2019-09-06 发布日期:2021-03-05
  • 通讯作者: 李艳
  • 基金资助:
    国家自然科学基金(41701640)、中国博士后基金(2017M621851)和国家自然科学基金重点项目(41130750)资助

Construction of space of information flows and assessment of network resilience from reflexive perspective: a case study of Baidu index in Yangtze River Delta

LI Yan1, SUN Yang1, CHEN Wen1,2   

  1. 1. Key Laboratory of Watershed Geographic Sciences of CAS, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-05-13 Revised:2019-09-06 Published:2021-03-05

摘要: 基于百度指数,集成网络联系强度、网络复杂性、Circos弦图等研究方法,尝试基于个体搜索行动对实体地理空间与虚拟信息空间进行跨尺度认知,在反身性视角下诠释长三角信息流空间建构,对长三角信息流空间网络韧性进行评估,主要结果如下:1)节点等级性与密度集聚性分析表明,长三角区域信息流空间具有较高的网络韧性,总体呈现“一极多中心”格局,密度呈显著非均衡性。2)层级传输性与流向匹配性分析显示,一方面,旅游相较于房价、天气、人才政策的网络层级性更高、层级性优势突出;另一方面,上海、杭州、苏州、南京、宁波在长三角信息流空间中占据较高层级,其中,上海、杭州与苏州是双向信息流动的最重要节点。3)反身性视角展示了从个体行动到虚拟信息空间并反身至实体地理空间的跨尺度地理空间认知方法,网络韧性分析表明个体行动相对于区域网络结构与区域网络结构韧性是具有地域反身性的,通过反身性视角建立个体-区域的跨尺度空间关联,有助于展示个体行动变化与区域空间变化的互馈。

关键词: 反身性视角, 信息流空间, 网络韧性, 百度指数, 长三角

Abstract: Based on the Baidu index, this paper attempts cross-scale cognition of the physical geographical space and the virtual space of information from individual search actions with integrated methods including network linkage strength, network complexity, and Circos. Further, it interprets the construction of the space of information flows of Yangtze River Delta from a reflexive perspective and evaluates the network resilience of the space of information flows in the region. The main results are as follows: First, the analysis of node hierarchy and density agglomeration demonstrates high network resilience of the space of information flows in the region of Yangtze River Delta, with an overall pattern of “one pole with multiple centers” but with significantly unbalanced density. Second, the analysis of hierarchical transmission and flow matching shows that, on one hand, tourism has higher network hierarchy with the most hierarchical advantages than house prices, weather and talents; on the other hand, Shanghai, Hangzhou, Suzhou, Nanjing, and Ningbo occupy a higher level in the space of information flows of the Yangtze River Delta. Among them, Shanghai, Hangzhou, and Suzhou are the most important nodes for both directions of the information flows in and out. Third, the reflexive perspective exhibits a method for cross-scale geospatial cognition from individual actions to the virtual space of information, and then reflexive to physical geographical space. The network resilience analysis presents that individual actions are territorially reflexive to regional network structure and the resilience of the regional network structure. Moreover, establishing an individual-regional cross-scale spatial linkage through a reflexive perspective contributes to a mutual feedback on the changing individual actions and the regional space, and the analysis of network resilience as an attempt to explore the adaptation to rapidly changing geographical space provides reference for national and regional governance and decision-making.

Key words: reflexive perspective, space of information flows, network resilience, Baidu index, Yangtze River Delta

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